Abstract
This study addresses the ambiguous impact of AI tools on writing burden and content quality in AI-aided writing. Despite their potential benefits, existing research presents conflicting results and neglects content quality assessment. We aim to design and evaluate AI-aided writing artifacts that enhance content quality without increasing writing burden, focusing on recipe writing. Employing extended mind theory and design science research, we develop a comprehensive framework for designing AI-aided recipe writing artifacts. This framework encompasses meta-requirements, design principles, design features and evaluation metrics. Our research can contribute valuable design knowledge to writers, readers, and AI tool developers, promoting the effective utilization of AI-aided writing tools while balancing quality improvement and writing burden reduction.
Recommended Citation
Liu, Quanchen, "Design and Evaluation of AI-Aided Writing: Managing User Burden and Improving Content Quality" (2025). SIGHCI 2024 Proceedings. 20.
https://aisel.aisnet.org/sighci2024/20
